101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 2006 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Boy Names

Ranking Name Distortion Index Count
101 📉
(Org: 98)
(4,535)
0 4,535
102 📉
(Org: 99)
(4,469)
- 4,469
103 ➡️
(Org: 103)
(4,328)
- 4,328
104 ➡️
(Org: 104)
(4,317)
0 4,317
105 📈
(Org: 109)
(4,300)
0.08 4,300
106 ➡️
(Org: 106)
(4,122)
0.01 4,122
107 ➡️
(Org: 107)
(4,080)
0.01 4,080
108 ➡️
(Org: 108)
(4,048)
0 4,048
109 📈
(Org: 157)
(4,042)
0.34 4,042
110 📈
(Org: 135)
(4,023)
0.25 4,023
111 📈
(Org: 128)
(3,998)
0.19 3,998
112 📉
(Org: 110)
(3,973)
0.01 3,973
113 📈
(Org: 134)
(3,923)
0.23 3,923
114 📉
(Org: 113)
(3,865)
0.03 3,865
115 📉
(Org: 112)
(3,819)
0 3,819
116 📉
(Org: 114)
(3,719)
- 3,719
117 📈
(Org: 118)
(3,714)
0.03 3,714
118 📈
(Org: 191)
(3,694)
0.44 3,694
119 📉
(Org: 117)
(3,667)
0 3,667
119 📉
(Org: 116)
(3,667)
- 3,667
121 📈
(Org: 124)
(3,581)
0.04 3,581
122 📈
(Org: 148)
(3,557)
0.21 3,557
123 📉
(Org: 120)
(3,534)
0 3,534
124 📈
(Org: 125)
(3,507)
0.05 3,507
125 📉
(Org: 121)
(3,504)
0 3,504
126 📉
(Org: 123)
(3,502)
0.01 3,502
127 📉
(Org: 122)
(3,481)
0 3,481
128 📈
(Org: 139)
(3,480)
0.15 3,480
129 📉
(Org: 127)
(3,327)
0 3,327
129 📈
(Org: 187)
(3,327)
0.36 3,327
131 📉
(Org: 126)
(3,317)
- 3,317
132 📉
(Org: 129)
(3,265)
0.01 3,265
133 📉
(Org: 130)
(3,243)
0.01 3,243
134 📈
(Org: 136)
(3,199)
0.06 3,199
135 📈
(Org: 180)
(3,195)
0.29 3,195
136 📈
(Org: 150)
(3,154)
0.12 3,154
137 📈
(Org: 154)
(3,122)
0.14 3,122
138 📉
(Org: 131)
(3,113)
0 3,113
139 📉
(Org: 138)
(3,108)
0.04 3,108
140 📉
(Org: 133)
(3,062)
0.01 3,062
141 📈
(Org: 145)
(3,037)
0.06 3,037
142 📉
(Org: 132)
(3,036)
- 3,036
143 📈
(Org: 201)
(2,989)
0.35 2,989
144 📈
(Org: 242)
(2,893)
0.51 2,893
145 📉
(Org: 141)
(2,871)
- 2,871
146 📉
(Org: 142)
(2,867)
- 2,867
147 📈
(Org: 176)
(2,855)
0.19 2,855
148 📉
(Org: 146)
(2,846)
0 2,846
149 📉
(Org: 147)
(2,830)
- 2,830
150 📉
(Org: 149)
(2,816)
0.01 2,816
151 ➡️
(Org: 151)
(2,763)
0 2,763
152 📈
(Org: 156)
(2,749)
0.02 2,749
153 📉
(Org: 152)
(2,744)
0.02 2,744
154 📈
(Org: 158)
(2,738)
0.02 2,738
155 📈
(Org: 160)
(2,733)
0.03 2,733
156 📉
(Org: 152)
(2,727)
0.01 2,727
157 📉
(Org: 155)
(2,688)
- 2,688
158 📈
(Org: 234)
(2,638)
0.42 2,638
159 📈
(Org: 162)
(2,606)
0 2,606
160 📈
(Org: 161)
(2,600)
- 2,600
161 📈
(Org: 163)
(2,597)
0 2,597
162 📈
(Org: 166)
(2,570)
0.03 2,570
163 📈
(Org: 165)
(2,546)
- 2,546
164 📈
(Org: 167)
(2,495)
0.01 2,495
165 📈
(Org: 169)
(2,494)
0.01 2,494
166 📈
(Org: 172)
(2,484)
0.05 2,484
167 📈
(Org: 179)
(2,469)
0.08 2,469
168 📈
(Org: 170)
(2,419)
0 2,419
168 📈
(Org: 218)
(2,419)
0.31 2,419
170 📈
(Org: 171)
(2,392)
- 2,392
171 📈
(Org: 182)
(2,369)
0.07 2,369
172 📈
(Org: 173)
(2,360)
0 2,360
173 📈
(Org: 188)
(2,349)
0.09 2,349
174 📈
(Org: 175)
(2,333)
0 2,333
175 📈
(Org: 280)
(2,319)
0.47 2,319
176 📈
(Org: 178)
(2,295)
- 2,295
177 📈
(Org: 227)
(2,290)
0.3 2,290
178 📈
(Org: 190)
(2,268)
0.07 2,268
179 📈
(Org: 286)
(2,267)
0.46 2,267
180 📈
(Org: 198)
(2,218)
0.11 2,218
181 📈
(Org: 184)
(2,208)
0.01 2,208
182 📈
(Org: 186)
(2,202)
0.02 2,202
183 ➡️
(Org: 183)
(2,194)
0 2,194
184 📈
(Org: 185)
(2,171)
- 2,171
185 📈
(Org: 202)
(2,157)
0.11 2,157
186 📈
(Org: 210)
(2,140)
0.16 2,140
187 📈
(Org: 193)
(2,086)
0.02 2,086
188 📈
(Org: 192)
(2,070)
- 2,070
189 📈
(Org: 217)
(2,062)
0.17 2,062
190 📈
(Org: 197)
(2,052)
0.03 2,052
191 📈
(Org: 194)
(2,049)
0 2,049
192 📈
(Org: 270)
(2,029)
0.37 2,029
193 📈
(Org: 206)
(2,003)
0.07 2,003
193 📈
(Org: 196)
(2,003)
0.01 2,003
195 📈
(Org: 200)
(1,982)
0.02 1,982
196 📈
(Org: 199)
(1,976)
0.02 1,976
197 📈
(Org: 204)
(1,903)
- 1,903
198 📈
(Org: 205)
(1,874)
- 1,874
198 📈
(Org: 244)
(1,874)
0.25 1,874
200 📈
(Org: 287)
(1,871)
0.35 1,871